ABOUT MERCOR

Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.

Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.

ABOUT THE ROLE:

As an Engagement Manager, you will own key customer relationships across application-layer companies, research labs, and enterprise clients, serving as the primary point of contact from evaluation through delivery. You’ll partner closely with technical and business stakeholders to guide training and deployment, resolve issues, and ensure a high-quality customer experience.

You’ll work cross-functionally with product, operations, and engineering to manage timelines, support execution, and surface insights that drive account growth. This role also plays a key part in expanding revenue—leading commercial processes for new and existing customers and helping leadership identify and unblock growth opportunities in a fast-moving AI environment.

Job Description:

• Manage and grow a portfolio of relationships across application-layer companies, research labs, and enterprise customers

• Serve as the primary point of contact for customer questions, issues, and escalations; triage internally and drive resolution.

• Lead commercial processes to close net-new and existing business

• Manage technical relationships with research teams and help guide evaluation and training strategy

• Work cross-functionally with product, operations, and engineering to track delivery and timelines

• Forecast revenue growth and help leadership understand how to unblock additional growth opportunities

Ideally you’d have:

• 4+ years of total work experience, with experience in consulting or as a technical program management role in industry

• Technical BS/MS (or equivalent practical experience) and comfort working with ML/engineering stakeholders

• Experience in a top-tier Consulting Firm and fast-growth technology startup

• A proven track record in enterprise client facing roles and expanding customer relationships

• Excellent verbal and written communications

• Ability to understand the ML training and evaluation lifecycle and build trusted relationships with technical customers.

• Great cross-functional experience and collaborative ability

COMPENSATION & BENEFITS:

• Competitive salary and bonus earning potential + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)

• Medical, dental, and vision coverage

• 401(k)

• Monthly meal stipend

• Excellent in-office culture